Experimental results in terms of forecasting accuracy using generalized regression neural networks are promising. Furthermore, the proposed approaches allow to forecast series that are too short to ...

TSFM: Time Series Foundation Models Public notebooks, utilities, and serving components for working with Time Series Foundation Models (TSFM). The core TSFM time series models have been made available ...

About Mamba4Cast, a zero-shot time series forecasting model, achieves competitive performance and faster inference than transformer-based models by leveraging Mamba architecture and synthetic training ...

For each selected time series regression model, three different hybrid strategies are designed in order to merge its results with DNNs, namely, Zhang's method, Khashei's method, and moving average ...